Language:

Glomerular filtration rate by differing measures, albuminuria and prediction of cardiovascular disease, mortality and end-stage kidney disease

Nature medicine, 2019-11, Vol.25 (11), p.1753-1760 [Peer Reviewed Journal]

COPYRIGHT 2019 Nature Publishing Group ;COPYRIGHT 2019 Nature Publishing Group ;The Author(s), under exclusive licence to Springer Nature America, Inc. 2019. ;ISSN: 1078-8956 ;EISSN: 1546-170X ;DOI: 10.1038/s41591-019-0627-8 ;PMID: 31700174

Full text available

Citations Cited by

Actions
1. Add to My Research
2. Remove from My Research
3. E-mail
4. Print
5. Permalink
6. Citation
7. EasyBib
8. EndNote
9. RefWorks
10. Delicious
11. Export RIS
12. Export BibTeX

Title:
Glomerular filtration rate by differing measures, albuminuria and prediction of cardiovascular disease, mortality and end-stage kidney disease
Author: Lees, Jennifer S ; Welsh, Claire E ; Celis-Morales, Carlos A ; Mackay, Daniel ; Lewsey, James ; Gray, Stuart R ; Lyall, Donald M ; Cleland, John G ; Gill, Jason M R ; Jhund, Pardeep S ; Pell, Jill ; Sattar, Naveed ; Welsh, Paul ; Mark, Patrick B
Subjects: Adult ; Aged ; Albuminuria - complications ; Albuminuria - diagnosis ; Albuminuria - physiopathology ; Albuminuria - urine ; Arteriosclerosis ; Atherosclerosis ; Biological Specimen Banks ; Biomarkers - blood ; Biomarkers - urine ; Cardiovascular disease ; Cardiovascular diseases ; Cardiovascular Diseases - blood ; Cardiovascular Diseases - complications ; Cardiovascular Diseases - diagnosis ; Cardiovascular Diseases - physiopathology ; Care and treatment ; Creatinine ; Creatinine - metabolism ; Cystatin C ; End-stage renal disease ; Epidermal growth factor receptors ; Female ; Glomerular filtration rate ; Glomerular Filtration Rate - physiology ; Health risk assessment ; Health risks ; Heart diseases ; Humans ; Kidney diseases ; Kidney Failure, Chronic - blood ; Kidney Failure, Chronic - diagnosis ; Kidney Failure, Chronic - physiopathology ; Kidneys ; Male ; Medical research ; Medicine, Experimental ; Middle Aged ; Mortality ; Prediction models ; Prevention ; Reclassification ; Renal Insufficiency, Chronic - complications ; Renal Insufficiency, Chronic - diagnosis ; Renal Insufficiency, Chronic - physiopathology ; Risk analysis ; Risk assessment ; Risk Factors
Is Part Of: Nature medicine, 2019-11, Vol.25 (11), p.1753-1760
Description: Chronic kidney disease is common in the general population and associated with excess cardiovascular disease (CVD), but kidney function does not feature in current CVD risk-prediction models. We tested three formulae for estimated glomerular filtration rate (eGFR) to determine which was the most clinically informative for predicting CVD and mortality. Using data from 440,526 participants from UK Biobank, eGFR was calculated using serum creatinine, cystatin C (eGFRcys) and creatinine-cystatin C. Associations of each eGFR with CVD outcome and mortality were compared using Cox models and adjusting for atherosclerotic risk factors (per relevant risk scores), and the predictive utility was determined by the C-statistic and categorical net reclassification index. We show that eGFRcys is most strongly associated with CVD and mortality, and, along with albuminuria, adds predictive discrimination to current CVD risk scores, whilst traditional creatinine-based measures are weakly associated with risk. Clinicians should consider measuring eGFRcys as part of cardiovascular risk assessment.
Publisher: United States: Nature Publishing Group
Language: English
Identifier: ISSN: 1078-8956
EISSN: 1546-170X
DOI: 10.1038/s41591-019-0627-8
PMID: 31700174
Source: MEDLINE
ProQuest Central

Back to results list


INSPIRE LIBRARY - TON DUC THANG UNIVERSITY	(84-028) 37 755 057	Feedback
19 Nguyen Huu Tho St. Dist.7, HCM	thuvien@tdtu.edu.vn	Feedback

Glomerular filtration rate by differing measures, albuminuria and prediction of cardiovascular disease, mortality and end-stage kidney disease

COPYRIGHT 2019 Nature Publishing Group ;COPYRIGHT 2019 Nature Publishing Group ;The Author(s), under exclusive licence to Springer Nature America, Inc. 2019. ;ISSN: 1078-8956 ;EISSN: 1546-170X ;DOI: 10.1038/s41591-019-0627-8 ;PMID: 31700174

Searching Remote Databases, Please Wait